CN vs AD Classification on ADNI (90-10 train-test)
99.7AccuracyARMA (Recon)
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ARMA (Recon)Variant=Reconstruction2026.01 | 99.7 | 100 | 99.3 | 99.7 | 99.9 | |
| ChebNet (Recon)Variant=Reconstruction2026.01 | 99.4 | 99 | 99.5 | 99.2 | 99.6 | |
| GAT (Recon)Variant=Reconstruction2026.01 | 98.3 | 97.6 | 98.3 | 97.8 | 99.3 | |
| SVC2026.01 | 86.3 | 83.8 | 82.2 | 82.3 | 89.5 | |
| GCN (Recon)Variant=Reconstruction2026.01 | 86.3 | 87.9 | 78.3 | 81.2 | 92.6 | |
| MLPClassifier2026.01 | 85.9 | 82.9 | 82.2 | 81.9 | 89.8 | |
| XGBoost2026.01 | 82.4 | 79.2 | 76.1 | 77 | 85.1 | |
| ARMA2026.01 | 82.2 | 78.3 | 78.9 | 77.9 | 88.4 | |
| Random Forest2026.01 | 82 | 79.8 | 74.4 | 76.1 | 87 | |
| AE-GCN2026.01 | 80.8 | 82.6 | 81.5 | 82.6 | 88.5 | |
| ChebNet2026.01 | 78.3 | 71.6 | 76.1 | 73.3 | 84.9 | |
| GAT2026.01 | 75.7 | 70 | 72.8 | 69.9 | 83.9 | |
| GCN2026.01 | 71.3 | 72.2 | 58.9 | 59.3 | 81.1 |